Machine learning identifies pupil size and corneal thickness as key predictors of axial elongation rate

Purpose This study aimed to develop a machine learning-based prediction model for myopia progression using ocular biometric parameters to provide an objective assessment tool for clinical practice. Methods A retrospective analysis was conducted on patients treated at Shanghai Parkway Health Ophthalmology Department as the training set, and myopic individuals from the Optometry Center of Peking University People’s Hospital as the validation set. Demographic and biometric data were collected, incl